I taught myself integer-only neural net training in Rust — and ran into a real quantization problem
I’m a 10th grade student teaching myself Rust by building something instead of just reading theory. The project is called Green-AI — an attempt to explore more energy-efficient AI training by using only integer arithmetic, no floating point anywhere except for timing measurements. Turns out this breaks in a genuinely interesting way, and fixing it […]
The $3.2 Million Question: Calculating the True Cost of AI Vendor Lock-In
The $3.2 Million Question: Calculating the True Cost of AI Vendor Lock-In Your chosen AI platform might seem cost-effective today, but what’s the real bill when you need to migrate? We break down the hidden financial, operational, and strategic costs of vendor lock-in in AI development, from data reformatting to model retraining. Beyond the API […]
Writing a Linux Driver From Scratch to Watch Free TV on a Raspberry Pi
May 2026 There’s a touchscreen mounted in my kitchen — I call it the WallScreen. It runs recipes, the chore board, a calendar, the usual smart-home clutter. One day I decided it should also pull in free over-the-air television. No subscription, no streaming app, just the local broadcast towers that have been beaming HD into […]
Building Agents with Claude: Tools, Reasoning, and the MCP Standard
Core Components Reasoning and Long Context Claude’s primary strengths for agent workflows are its ability to ingest massive amounts of text and its careful approach to problem-solving. Anthropic trains its models using a framework that prioritizes harmless and honest behavior. In an agent context, a model that pauses to ask for clarification is vastly superior […]
AI Analytics Row-Level Security: Let Users Ask Questions Without Leaking Data
The database or BI layer knows who is asking. The app can apply tenant filters, role checks, and column restrictions. AI analytics often breaks that chain: Human user → app session → AI service → service account → database query Now the warehouse sees one identity: the AI service account. That account usually needs broad […]
Building AI Agents for Regulated Industries: The Architecture of “Prepare, Don’t Decide”
Most tutorials on AI agents assume the agent should get more autonomous over time — more tools, more scope, less human intervention. That’s the wrong architecture for regulated professional-services work, and if you’re building for accounting or legal clients, it’s worth understanding why before you write a line of code. In accounting and legal workflows, […]
Show the Evidence That an AI Action Approval Actually Covered
A reviewer approves “update dependencies,” but the system later interprets that as publishing a package. The human was present; meaningful approval was not. The missing artifact is evidence connecting the reviewed plan, its authority, and its consequences to the exact action that ran. What is verified According to OpenAI’s July 21 disclosure, a combination of […]
Treat Emergency AI Revocation as a Distributed Protocol
Controller A records revocation epoch 12. Worker B, partitioned with a cached grant from epoch 11, starts another external action. The database is correct and the system is unsafe. Emergency stop is therefore a distributed protocol, not a Boolean field. What is verified In its July 21 disclosure, OpenAI says an internal benchmark used models […]
Bio-Tuning Glasses: Building an Invisible Biofeedback Interface with Edge AI and Adaptive Optics
The user receives information: Your heart rate is high. You are stressed. You haven’t moved enough. Your sleep quality is poor. Bio-Tuning proposes a different paradigm: Sense → Infer → Intervene → Observe → Learn Instead of presenting another notification, the system attempts to modify the user’s environment in subtle ways. For example: Physiological arousal […]
Voice Agent Turn-Taking: Stop Live AI Calls From Talking Over Users
That is enough for a demo. It is not enough for a live workflow where the caller changes their mind, uses filler words, speaks in a noisy room, or interrupts because the AI misunderstood them. The practical goal is not “lowest latency at any cost.” The goal is comfortable turn timing: fast enough to feel […]